1/ Trust is often assumed to exist by default, rather than being truly enforced.
When AI agents evolve from assistants to autonomous actors, this default assumption quietly becomes invalid.
The real failure mode is not the lack of reasoning ability, but the execution of actions by agents in the absence of rigid boundaries.
"Smart" agents running on weak infrastructure do not bring autonomy.
2/ What they bring is risk.
The problem is that trust cannot be inferred from intentions or outcomes.
In autonomous systems, expectations, policies, and so-called "best behaviors" cannot be scaled.
If there is a lack of clear identity, limited scope of authority, and enforceable constraints at the moment of execution, the system can only rely on blind delegation.
Post-facto logs and explanations cannot prevent harm; they can only describe facts that have already occurred.
At this point, trust is merely optimistic packaging by tools.
3/ Kite addresses this issue by enforcing trust at the infrastructure level.
On Kite, the identity, authority, constraints, and execution logic of agents are defined natively and verified on-chain, constraining actions before they occur rather than being interpreted afterward.
This allows agents to act safely and independently without needing human approval or blind trust.
On Kite, trust is not a promise.
It is an inherent attribute of the system itself.
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